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Assessment of soil quality indexes for different land use types in typical steppe in the loess hilly area, China

机译：中国黄土丘陵区典型草原对不同土地利用类型土壤质量指标的评价

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摘要

Soil quality indexes (SQIs) are important for evaluating grassland ecosystems. The objective of this study was to assess different land-use soil quality using total data set, minimum data set (MDS), and revised minimum data set (RMDS) indicator selection methods and linear and non-linear scoring methods. Four land-use, which were including grazing grassland (GG), fencing grassland (FG), contour trench grassland (CG) and fish-scale pits grassland (FPG) in a typical steppe of loess hilly area in Ningxia, were taken as the research object. Eighteen indicators (soil bulk density; GMD: geometric mean diameter; MWD: mean weight diameter; FWC: field water-storage capacity; capillary porosity; total porosity; soil organic carbon; TN: total nitrogen; total phosphorus; AK: available potassium; available nitrogen; microbial biomass carbon; microbial biomass nitrogen; SA: sucrase activity; protease activity; CA: catalase activity; PPA: phosphatase activity; and urease activity) of soil physical, chemical, and biological characteristics of the 0-40 cm soil layer under different land use types were measured. Principal component analysis was used to select the MDS and RMDS. The results showed that three (SA, MWD, and PPA) and six (FWC, GMD, TN, AK, SA, and CA) soil indicators were included in the MDS and RMDS, respectively. The agreement values of SQIs for the linear scoring method were higher than those of the non-linear scoring method. The linear scoring-revised minimum data set was regarded as the most appropriate method to calculate the SQI because of its highest F and CV (Coefficient of Variation) values and correlation coefficient. The ranking of the SQI values of the four land use types was FG GG CG FPG. The results showed that FG is the most beneficial measure for the restoration of degraded grassland, which has important guiding significance for the ecological construction of degraded grassland in the study area.
机译：土壤质量指标（SQIS）对评估草原生态系统很重要。本研究的目的是使用总数据集，最小数据集（MDS）和修订的最小数据集（RMDS）指示灯选择方法和线性和非线性评分方法来评估不同的土地利用土壤质量。在宁夏黄土丘陵地区的典型草原上，包括放牧草地（GG），围栏草地（FG），轮廓沟（FG），轮廓沟（CG）和鱼鳞坑草原（FPG）的四次土地使用被认为是研究对象。十八指标（土堆积密度; GMD：几何平均直径; MWD：平均重量直径; FWC：现场储水能力;毛细孔孔隙度;总孔隙度;土壤有机碳; TN：总磷; AK：AK：可用钾;可用的氮;微生物生物量碳;微生物生物量氮; SA：Sucrase活性;蛋白酶活性; Ca：过氧化氢酶活性; PPA：磷酸酶活性;土壤物理，化学和0-40厘米土层的生物学特性的磷酸酶活性）在不同的土地使用下测量。主要成分分析用于选择MDS和RMD。结果表明，在MDS和RMD中分别包含三种（SA，MWD和PPA）和六（FWC，GMD，TN，AK，SA和CA）土壤指示剂。线性评分方法的SQI的协议值高于非线性评分方法。线性评分修订的最小数据集被认为是计算SQI的最合适的方法，因为它是最高的F和CV（变化系数）值和相关系数。四种土地使用类型的SQI值的排名为FG> Gg> Cg> FPG。结果表明，FG是恢复退化草地的最有益的措施，这对研究区的退化草地生态建设具有重要的指导意义。

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  • 来源
    《Ecological indicators》 |2020年第11期|106743.1-106743.10|共10页
  • 作者

    Zhou Yao; Ma Hongbin; Xie Yingzhong; Jia Xiyang; Su Tingting; Li Jianping; Shen Yan;

  • 作者单位

    Ningxia Univ Coll Agr 489 Helanshan West Rd Yinchuan 750021 Ningxia Peoples R China;

    Ningxia Univ Coll Agr 489 Helanshan West Rd Yinchuan 750021 Ningxia Peoples R China|Breeding Base State Key Lab Land Degradat & Ecol Yinchuan 750021 Ningxia Peoples R China;

    Ningxia Univ Coll Agr 489 Helanshan West Rd Yinchuan 750021 Ningxia Peoples R China|Breeding Base State Key Lab Land Degradat & Ecol Yinchuan 750021 Ningxia Peoples R China;

    Ningxia Univ Coll Agr 489 Helanshan West Rd Yinchuan 750021 Ningxia Peoples R China;

    Ningxia Univ Coll Agr 489 Helanshan West Rd Yinchuan 750021 Ningxia Peoples R China;

    Ningxia Univ Coll Agr 489 Helanshan West Rd Yinchuan 750021 Ningxia Peoples R China|Breeding Base State Key Lab Land Degradat & Ecol Yinchuan 750021 Ningxia Peoples R China;

    Ningxia Univ Coll Agr 489 Helanshan West Rd Yinchuan 750021 Ningxia Peoples R China|Breeding Base State Key Lab Land Degradat & Ecol Yinchuan 750021 Ningxia Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Soil quality index; Revised minimum data set; Scoring method; Principal component analysis; Typical steppe;

    机译：土壤质量指数;修订的最小数据集;评分方法;主成分分析;典型的草原;

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